ralph-wiggum
Ralph Wiggum iterative development loop methodology for persistent AI agent work. Implements continuous iteration loops where AI works on tasks until completion, using Archon for state management and context handoffs. Integrates with The Long Run Harness, Spec Kit, and PRP frameworks. Triggers: ralph, wiggum, iteration loop, persistent agent, continuous development.
npx skills add majiayu000/claude-skill-registry --skill ralph-wiggum-fgarofalo56-suppercharge-microso --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Ralph Wiggum - Iterative AI Development Loops > **"Ralph is a Bash loop"** - A simple `while true` that repeatedly feeds an AI agent a prompt, allowing it to iteratively improve its work until completion. ## 🚀 Quick Start | Command | Description | |---------|-------------| | `/ralph-start` | Launch the setup wizard | | `/ralph-iterate` | Run one iteration manually | | `/ralph-status` | Check loop status & progress | | `/ralph-cancel` | Cancel active Ralph loop | | `/ralph-integrate` | Integrate Ralph with other frameworks | --- ## What is Ralph Wiggum? Ralph Wiggum is a development methodology based on continuous AI agent loops. Named after Ralph Wiggum from The Simpsons, it embodies the philosophy of **persistent iteration despite setbacks**. ### Core Concept ``` ┌─────────────────────────────────────────────────────────────────────┐ │ RALPH WIGGUM LOOP │ │ │ │ ┌──────────┐ │ │ │ PROMPT │ ◄────────────────────────────────────┐ │ │ └────┬─────┘ │ │ │ │ │ │ │ ▼ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ │ AGENT │───►│ WORK │───►│ CHECK │─────┤ │ │ │ START │ │ ON TASK │ │ COMPLETE │ │ │ │ └──────────┘ └──────────┘ └────┬─────┘ │ │ │ │ │ │ │ ┌──────────┴───────┐ │ │ │ │ │ │
- 🚀 Quick Start
- What is Ralph Wiggum?
- Core Concept
- Self-Referential Feedback Loop
- Philosophy
- 1. Iteration > Perfection
- 2. Failures Are Data
- 3. Operator Skill Matters
- 4. Persistence Wins
- Execution Modes
- Mode 1: Background Workflow
- Mode 2: Manual Iteration
- Mode 3: Hybrid (Recommended)
- Loop Termination
Start Ralph in background (recommended for long-running tasks) Run one iteration Check status Continue if needed First few iterations - supervised Once confident, go to background Use Ralph for harness coding sessions Ralph wraps harness-coder with iteration loop Use Ralph for spec implementation Ralph iterates until spec requirements met
What does the ralph-wiggum skill do?
Ralph Wiggum iterative development loop methodology for persistent AI agent work. Implements continuous iteration loops where AI works on tasks until completion, using Archon for state management and context handoffs. Integrates with The Long Run Harness, Spec Kit, and PRP frameworks. Triggers: ralph, wiggum, iteration loop, persistent agent, continuous development.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill ralph-wiggum-fgarofalo56-suppercharge-microso --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.